SoCS: Collaborative Research: Information Farming: Intelligent Interfaces for an Online Production Community

SoCS：协作研究：信息农业：在线生产社区的智能界面

基本信息

批准号：
0968483
负责人：
Loren Terveen
金额：
$ 37.5万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-15 至 2015-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968483&HistoricalAwards=false
关键词：
SoCS Collaborative Research Information Farming

项目摘要

Social production communities can be powerful engines for harnessing the efforts of many individuals to produce valuable artifacts and knowledge. However, their success critically depends on members' ability to effectively contribute. As the size and complexity of the community grows, so do challenges to members' understanding of the content and collaboration. These challenges decrease the ability of the team to work together, and the quality of the work product.The researchers propose partnering humans with intelligent interfaces that improve contribution effectiveness. They will create intelligent algorithms and interfaces that go beyond supporting people simply foraging for information to information farming, in which members of the community work together to plant the seeds of the information the community needs, nurture the growth of those seeds into valuable information, and weed out the information that detracts from the value of the farm.The research is based on theories of human information processing, and will extend those theories to environments in which people are producing information. The researchers will explore new algorithms and interfaces based on the extended theories, and will carry out studies to understand how the theories work in practice.Social production communities are economically and socially important. Open source software runs large parts of our economy; Wikipedia is revolutionizing knowledge production and consumption, providing free access to one of the largest bodies of knowledge gathered in human history. The proposed research will directly improve Wikipedia, and will contribute to understanding how social production communities work.

社会生产社区可以是利用许多人制作有价值的文物和知识的强大引擎。但是，他们的成功取决于成员有效贡献的能力。随着社区的规模和复杂性的增长，会员对内容和协作的理解也要挑战。这些挑战降低了团队共同努力的能力以及工作产品的质量。研究人员建议通过智能接口合作，以提高贡献效果。他们将创建聪明的算法和界面，这些算法和界面不仅仅是支持人们，仅仅向人们觅食信息耕作，社区成员共同努力，种植社区所需的信息的种子，培养这些种子的成长为有价值的信息，并淘汰损害农场价值的信息。研究基于人类信息的信息，这些信息基于这些信息的信息，并将扩大人们的范围，并将人们扩展到环境中，并促进了人们的环境，以促进人们的范围。研究人员将根据扩展理论探索新的算法和接口，并将进行研究以了解这些理论在实践中的运作方式。社会生产社区在经济和社会上至关重要。开源软件运营着我们经济的大部分；维基百科正在彻底改变知识的生产和消费，从而自由获得人类历史上收集的最大知识体之一。拟议的研究将直接改善Wikipedia，并将有助于了解社会生产社区的运作方式。